Distributed information retrieval - PowerPoint PPT Presentation

Weimao Ke wke@indiana School of Library and Information Science Indiana University Bloomington

Collaborative Classifier Agents Studying the Impact of Learning in Distributed Information Retrieval. Weimao Ke, Javed Mostafa, and Yueyu Fu. Submitted to SIGIR 2006. Weimao Ke wke@indiana.edu School of Library and Information Science Indiana University Bloomington. Layout. Introduction

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Distributed Information Retrieval

Distributed Information Retrieval. Jamie Callan Carnegie Mellon University callan@cs.cmu.edu. Engine n. Engine 1. Engine 2. Engine 3. Engine 4. Multi-Database Solutions: Distributed Information Retrieval. . . . . ?. . . . . . . Common scenarios: Multiple partitions, single service

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473 views • 8 slides

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